diff --git a/README.md b/README.md
index f48317b..38ef6fb 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@ pip install -r requirements.txt
 
 To generate transcripts create a new job with your specifications (see jobs section below).
 <br/>
-If you need to download the transcriber model (not saved in `data/models`yet) set your huggingface token:
+If you need to download the transcriber model (not saved in `data/models` yet) set your huggingface token:
 
 On Linux/Mac:
 
@@ -52,11 +52,13 @@ Jobs specify tasks for transcript creation. A job contains the following informa
 - seperate data production form code
 - remember to accept the conditions on diarization if you use huggingface
 - do a config json
-- do option to have models already stored and point to them (is this necessary?)
+- do option to have models already stored and point to them (is this necessary? > if you do not want to interact with
+  huggingface yes)
     - also for single language models
 - check warnings
 - downloader for tib-av
 - more optional setting
+- add progress bar
 
 ## Structure
 
diff --git a/src/transcriber.py b/src/transcriber.py
index 742b4c7..ea28fc4 100644
--- a/src/transcriber.py
+++ b/src/transcriber.py
@@ -80,7 +80,7 @@ class Transcriber:
                 json.dump(self.transcript_output, f)
 
             # Save just the transcripts to a .txt file
-            transcripts = [seg['value'] for seg in self.transcript_output['segments']]
+            transcripts = [seg['text'] for seg in self.transcript_output['segments']]
             with open(output_txt_file, 'w') as f:
                 f.write('\n'.join(transcripts))
         except Exception as e: